def readingVideo(videoFile):
stdDev, mean = pd.getStdDevAndMean('__ChoosenImage2')
print "Stdev : "+str(stdDev), "Mean : "+str(mean)
print "Video Frame : ",vd.countFrame(videoFile)
print "Video Size : ",len(vd.readVideo(videoFile)[1]),len(vd.readVideo(videoFile)[1][0])
counter = 0
cdt = preprocessing.colorDetection()
idt = preprocessing.intensityDetection()
lum = preprocessing.luminance()
grw = preprocessing.growing()
classifier = cls.getClassification()
fireFrame = numpy.array([0,0,0,0,0,0])
ListWavelet = []
ListLuminance = []
ListGrayImage = []
ListRegion = []
AllFrame = 0
list_color = cdt.retriveColorList()
starts = time.time()
while(vd.isOpened(videoFile)):
try :
#get curent frame
currentFrame = vd.readVideo(videoFile)[1]
#compres image
while (len(currentFrame)>150):
if (len(currentFrame)<=300):
currentFrame2 = copy.copy(currentFrame)
currentFrame = vd.downSize(currentFrame)
counter+=1
# step 1 get moving pixel
movingFrame = mv.getMovingForeGround(vd.copyFile(currentFrame))
movingPixel = mv.getMovingPixel(vd.copyFile(movingFrame))
# step 2 candidate pixel ( color probability )
# ColorCandidatePixel = cdt.getColorCandidatePixel(copy.copy(movingPixel), copy.copy(currentFrame), stdDev, mean)
ColorCandidatePixel = cdt.getColorCandidatePixel2(copy.copy(movingPixel), copy.copy(currentFrame), list_color)
#region growing
# region = grw.getGrowingRegion(ColorCandidatePixel[0], copy.copy(currentFrame),stdDev, mean)
region = grw.getGrowingRegion2(ColorCandidatePixel[0], copy.copy(currentFrame),list_color)
# step 3 candidate pixel ( brightness ), convert image to gray with luminance and split by region
luminanceImageGray = lum.getLuminanceImageGray(copy.copy(currentFrame))
LuminanceCandidatePixel = idt.getLuminanceCandidatePixel(copy.copy(luminanceImageGray),copy.copy(ColorCandidatePixel[0]),copy.copy(region))
# step 4 candidate pixel ( variance color per region ) -- issue on threshold --
VarianceCandidatePixel = grw.getVarianceColorRegion(copy.copy(currentFrame),copy.copy(LuminanceCandidatePixel[0]),copy.copy(region))
#preparing step 5 & 6
grayImage = vd.toGray(currentFrame2)
LL,(HL,LH,HH) = wv.toWavelet(copy.copy(grayImage))
luminanceImage = lum.getLumiananceImage(currentFrame)
ListLuminance.append(luminanceImage)
ListWavelet.append([HL,LH,HH])
ListGrayImage.append(copy.copy(grayImage))
ListRegion.append(region)
if (counter<=10):
continue
ListLuminance.pop(0)
ListWavelet.pop(0)
ListGrayImage.pop(0)
ListRegion.pop(0)
DiferenceCandidatePixel = idt.getDiferencePixel(ListLuminance,copy.copy(VarianceCandidatePixel[0]))
# RegionCenterMovement = grw.getGrowingCenterPoint(ListRegion,copy.copy(DiferenceCandidatePixel[0]))
# DiferenceCandidatePixel = idt.getDiferencePixel2(ListLuminance,copy.copy(DiferenceCandidatePixel[0]))
FinalCandidatePixel = cls.doClassification(classifier,copy.copy(DiferenceCandidatePixel[0]),ListWavelet)
if len(movingPixel[0])>0:
fireFrame[0]+=1
if len(ColorCandidatePixel[0])>0:
fireFrame[1]+=1
if len(LuminanceCandidatePixel[0])>0:
fireFrame[2]+=1
if len(VarianceCandidatePixel[0])>0:
fireFrame[3]+=1
if len(DiferenceCandidatePixel[0])>0:
fireFrame[4]+=1
# if len(RegionCenterMovement[0])>0:
# fireFrame[5]+=1
if len(FinalCandidatePixel[0])>0:
fireFrame[5]+=1
AllFrame+=1
fireFrameImage = vd.upSize(vd.upSize(mv.markPixelRectangle(FinalCandidatePixel[0],currentFrame)))
vd.showVideo('Final',fireFrameImage)
vd.waitVideo(1)
except :
print "Time : ",time.time() - starts
return (fireFrame)/float(AllFrame)
print "Time : ",time.time() - starts
return (fireFrame)/float(AllFrame)
def readingVideo(videoFile):
stdDev, mean = pd.getStdDevAndMean('__ChoosenImage2')
print "Stdev : "+str(stdDev), "Mean : "+str(mean)
print "Video Frame : ",vd.countFrame(videoFile)
print "Video Size : ",len(vd.readVideo(videoFile)[1]),len(vd.readVideo(videoFile)[1][0])
counter = 0
cdt = preprocessing.colorDetection()
idt = preprocessing.intensityDetection()
lum = preprocessing.luminance()
grw = preprocessing.growing()
classifier = cls.getClassification()
fireFrame = numpy.array([0,0,0,0,0,0])
ListWavelet = []
ListLuminance = []
ListGrayImage = []
AllFrame = 0
while(vd.isOpened(videoFile)):
try :
#get curent frame
currentFrame = vd.readVideo(videoFile)[1]
#compres image
while (len(currentFrame)>150):
if (len(currentFrame)<=300):
currentFrame2 = copy.copy(currentFrame)
currentFrame = vd.downSize(currentFrame)
# step 1 get moving pixel
movingFrame = mv.getMovingForeGround(vd.copyFile(currentFrame))
movingPixel = mv.getMovingPixel(vd.copyFile(movingFrame))
# step 2 candidate pixel ( color probability )
ColorCandidatePixel = cdt.getCandidatePixel(copy.copy(movingPixel), copy.copy(currentFrame), stdDev, mean)
# step 3 candidate pixel ( brightness ), convert image to gray with luminance
luminanceImageGray = lum.getLuminanceImageGray(copy.copy(currentFrame))
LuminanceCandidatePixel = idt.getIntensityPixel(copy.copy(luminanceImageGray),copy.copy(ColorCandidatePixel[0]),copy.copy(movingPixel))
#convert image to luminance image with gaussian filter 7 and 13
luminanceImage = lum.getLumiananceImage(currentFrame)
# covert image to wavelet
grayImage = vd.toGray(currentFrame2)
LL,(HL,LH,HH) = wv.toWavelet(copy.copy(grayImage))
#step 4 get floodfill
ListGrowPixel,avg_region, region = grw.getRegion(LuminanceCandidatePixel[0],copy.copy(currentFrame),stdDev, mean)
#append image
ListLuminance.append(luminanceImage)
ListWavelet.append([HL,LH,HH])
ListGrayImage.append(copy.copy(grayImage))
counter+=1
if (counter<=10):
continue
ListLuminance.pop(0)
ListWavelet.pop(0)
ListGrayImage.pop(0)
ListDiferrentPixel = idt.getDiferencePixel(ListLuminance,copy.copy(ListGrowPixel[0]))
# ListDiferrentPixel = copy.copy(ListGrowPixel)
# step 6
FinalCandidatePixel = cls.doClassification(classifier,copy.copy(ListDiferrentPixel[0]),ListWavelet)
# cls.doClassification(classifier,copy.copy(ListCandidatePixel[0]),ListWavelet)
if len(movingPixel[0])>0:
fireFrame[0]+=1
if len(ColorCandidatePixel[0])>0:
fireFrame[1]+=1
if len(LuminanceCandidatePixel[0])>0:
fireFrame[2]+=1
if len(ListGrowPixel[0])>0:
fireFrame[3]+=1
if len(ListDiferrentPixel[0])>0:
fireFrame[4]+=1
if len(FinalCandidatePixel[0])>0:
fireFrame[5]+=1
AllFrame+=1
fireFrameImage = vd.upSize(vd.upSize(mv.markPixelRectangle(FinalCandidatePixel[0],currentFrame)))
vd.showVideo('Final',fireFrameImage)
vd.waitVideo(1)
except:
return (fireFrame)/float(AllFrame)
return (fireFrame)/float(AllFrame)